{"id":"W6905847372","doi":"10.15468/dl.wuzay6","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality; Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00107948,0.002010236,0.001695915,0.005408018,0.0009902706,0.002738144,0.002847875,0.002100925,0.1712266],"category_scores_gemma":[0.006481566,0.0009454861,0.001252114,0.01020611,0.0004631841,0.002341266,0.002778166,0.002003911,0.2349327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635186,"about_ca_system_score_gemma":0.002453866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986447,"about_ca_topic_score_gemma":0.03190003,"domain_scores_codex":[0.9988766,0.0001544337,0.0001571756,0.0003783825,0.0002471613,0.0001861813],"domain_scores_gemma":[0.9973238,0.0007419372,0.0002644415,0.0006901078,0.000665571,0.0003141861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000340003,0.00001057283,0.0003510516,0.0006478634,0.00001700626,0.00001481832,0.00002327532,0.0001144436,0.0001264751,0.000401915,0.9968204,0.001438059],"study_design_scores_gemma":[0.00007540494,0.000007850424,0.001646719,0.0002108501,0.00001511432,0.00003412808,0.00006111035,0.0001232125,0.0001852217,0.0008286804,0.9967942,0.00001750368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003292818,0.0000261758,0.0000378669,0.00003171453,0.00001014119,0.000004960532,0.9989586,0.0003246245,0.0005729608],"genre_scores_gemma":[0.0001453208,0.00003598578,0.0001770494,0.00004872792,0.000003424397,0.00004052815,0.9989859,0.0001442283,0.0004187277],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287734,"threshold_uncertainty_score":0.5728102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}